Jean Oh

Computer Vision and Pattern Recognition · 2008–2021

A researcher in the Science corpus: 5 papers; trusts 179 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Jean Oh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Tim Roughgarden
  2. Caroline Claus
  3. Karen Simonyan
  4. Craig Boutilier
  5. Thomas G. Dietterich
  6. Geoffrey E. Hinton
  7. Ross B. Girshick
  8. Kaiming He
  9. Pete Trautman
  10. Yoshua Bengio

Who trusts Jean Oh overall

  1. Boris Ivanovic
  2. Felix Stahlberg

Papers from Jean Oh's perspective

Ordered by how strongly the researchers Jean Oh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers